Adverse effects post vaccination against COVID-19 in adolescents

Cruz, Carmen Alicia Llerena; Shigla, Erika Vanessa Aucanshala

doi:10.56294/saludcyt2023372

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Health authorities also reported that no deceases have been recorded among individuals with two vaccine doses. (17,18,19) Regarding life expectancy at birth, analyzed between 1990 and 2021, a noteworthy increase in years of life is observed. In 1990, the average life expectancy for adults in Argentina was 71,78 years, while in the year 2021, it has propitiously increased to 75,39 years.…”

Section: Resultsmentioning

confidence: 99%

Systemic analysis of the vaccination program in Argentina

Garros,

Rolando,

Ponce

et al. 2023

Health Leadership and Quality of Life

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Introduction: The paper discusses the historical evolution and importance of vaccines in public health. The key role of vaccines and drinking water in preventing infectious diseases since the 19th century is highlighted. It mentions how epidemics such as poliomyelitis in Argentina boosted vaccine research and development. In addition, the shared responsibility between scientists, vaccine developers and the population is emphasized, highlighting the importance of public health policies and awareness.Methods: A qualitative study was conducted with a systematic review of scientific literature. Sources included data from WHO, the Argentine Ministry of Health, scientific papers, and surveys, with a focus on sociodemographic parameters and living conditions. The analysis focused on a historical-logical approach to interpret the data.Results: The results show significant advances in the Argentine vaccination program, especially in the pediatric population. There was a notable reduction in the number of unvaccinated children from 2021 to 2022, and increases in DTP and HPV vaccine coverage. There was a historic decrease in the incidence of influenza and in the infant mortality rate since 1990. The measles outbreak in 2020 was associated with low vaccination coverage in 2019. During the COVID-19 pandemic, there was a low post-vaccination infection rate and zero deaths in fully vaccinated individuals. In addition, an increase in life expectancy since 1990 was noted.Conclusions: Vaccines are fundamental in public health, evidenced by the improvement in vaccination coverage and the decrease in the prevalence of infectious diseases and infant mortality in Argentina. Awareness campaigns and public health policies have been crucial. However, misinformation remains a challenge. Global collaboration, such as that of WHO, is key to improving vaccination coverage and addressing emerging challenges such as COVID-19 and Ebola. Immunization remains an essential tool to prevent disease and save lives worldwide.

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Section: Resultsmentioning

confidence: 99%

Systemic analysis of the vaccination program in Argentina

Garros,

Rolando,

Ponce

et al. 2023

Health Leadership and Quality of Life

View full text Add to dashboard Cite

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Support vector machine with optimized parameters for the classification of patients with COVID-19

Andrade-Girón,

Carreño-Cisneros,

Mejía-Dominguez

et al. 2023

EAI Endorsed Trans Perv Health Tech

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Introduction. The COVID-19 pandemic has had a significant impact worldwide, especially in health, where it is crucial to identify patients at high risk of clinical deterioration early. Objective. This study aimed to design a model based on the support vector machine (SVM) algorithm, optimizing its parameters to classify patients with suspected COVID-19. Methodology. One thousand patient records from two health establishments in Peru were used. After applying data preprocessing and variable engineering, the sample was reduced to 700 records. The construction of the model followed a machine learning methodology, using the linear, polynomial, sigmoid, and radial kernel functions, along with their estimated optimal parameters, to ensure the best performance. Results. The results revealed that the SVM model with the linear and sigmoid kernels presented an accuracy of 95%, surpassing the polynomial kernel with 94% and the radial kernel (RBF) with 94%. In addition, a value of 0.92 was obtained for Cohen's kappa, which measures the degree of agreement between the predictions of the machine learning model and the actual results, which indicates an excellent deal for the linear and sigmoid kernel. Conclusions. In conclusion, the SVM model with linear and sigmoid kernels could be a valuable tool for identifying patients at high risk of clinical deterioration in the context of the COVID-19 pandemic.

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Adverse effects post vaccination against COVID-19 in adolescents

Cited by 2 publications

References 13 publications

Systemic analysis of the vaccination program in Argentina

Systemic analysis of the vaccination program in Argentina

Support vector machine with optimized parameters for the classification of patients with COVID-19

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